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#ifndef TENSORFLOW_KERNELS_VARIABLE_OPS_H_
#define TENSORFLOW_KERNELS_VARIABLE_OPS_H_
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/register_types.h"
#include "tensorflow/core/framework/resource_mgr.h"
#include "tensorflow/core/lib/core/errors.h"
#include "tensorflow/core/platform/port.h"
namespace tensorflow {
class VariableOp : public OpKernel {
public:
explicit VariableOp(OpKernelConstruction* context) : OpKernel(context) {
OP_REQUIRES_OK(context, context->GetAttr("shape", &shape_));
dtype_ = RemoveRefType(context->output_type(0));
}
~VariableOp() override {
if (var_) var_->Unref();
}
void Compute(OpKernelContext* ctx) override {
mutex_lock l(init_mu_);
if (var_ == nullptr) {
OP_REQUIRES_OK(ctx, cinfo_.Init(ctx->resource_manager(), def(),
true /* use name() */));
auto creator = [this](Var** var) {
*var = new Var(dtype_);
(*var)->tensor()->set_shape(shape_);
return Status::OK();
};
OP_REQUIRES_OK(ctx,
cinfo_.resource_manager()->LookupOrCreate<Var>(
cinfo_.container(), cinfo_.name(), &var_, creator));
}
// Output a reference to our tensor, so it may be updated.
//
// As long as *this is alive, the ref we return here is valid
// because *this owns a ref on var_.
ctx->set_output_ref(0, var_->mu(), var_->tensor());
}
private:
class Var : public ResourceBase {
public:
explicit Var(DataType dtype) : tensor_(dtype) {}
mutex* mu() { return &mu_; }
Tensor* tensor() { return &tensor_; }
string DebugString() override {
return strings::StrCat(DataTypeString(tensor_.dtype()), "/",
tensor_.shape().ShortDebugString());
}
private:
mutex mu_;
Tensor tensor_;
~Var() override {}
TF_DISALLOW_COPY_AND_ASSIGN(Var);
};
DataType dtype_;
TensorShape shape_;
mutex init_mu_;
ContainerInfo cinfo_ GUARDED_BY(init_mu_);
Var* var_ GUARDED_BY(init_mu_) = nullptr;
TF_DISALLOW_COPY_AND_ASSIGN(VariableOp);
};
class TemporaryVariableOp : public OpKernel {
public:
explicit TemporaryVariableOp(OpKernelConstruction* context)
: OpKernel(context) {
OP_REQUIRES_OK(context, context->GetAttr("shape", &shape_));
OP_REQUIRES_OK(context, context->GetAttr("dtype", &dtype_));
OP_REQUIRES_OK(context, context->GetAttr("var_name", &var_name_));
// Variable name defaults to op name if not specified explicitly.
if (var_name_ == "") var_name_ = name();
}
void Compute(OpKernelContext* context) override {
Status s;
ResourceMgr* rm = context->step_resource_manager();
OP_REQUIRES(context, rm, errors::Internal("No per-step resource manager."));
auto* tmp_var = new TmpVar;
OP_REQUIRES(context, tmp_var,
errors::ResourceExhausted("Could not allocate TmpVar."));
tmp_var->name = var_name_;
s = context->allocate_temp(dtype_, shape_, &tmp_var->val);
if (!s.ok()) tmp_var->Unref();
OP_REQUIRES_OK(context, s);
OP_REQUIRES_OK(context, rm->Create("tmp_var", var_name_, tmp_var));
context->set_output_ref(0, &tmp_var->mu, &tmp_var->val);
}
private:
// Refcounted temporary variable resource.
friend class DestroyTemporaryVariableOp;
struct TmpVar : public ResourceBase {
mutex mu;
Tensor val;
string name;
string DebugString() override { return name; }
~TmpVar() override { VLOG(3) << "TmpVar " << name << " deleted"; }
};
TensorShape shape_;
DataType dtype_;
string var_name_;
};
class DestroyTemporaryVariableOp : public OpKernel {
public:
explicit DestroyTemporaryVariableOp(OpKernelConstruction* context)
: OpKernel(context) {
OP_REQUIRES(context, IsRefType(context->input_type(0)),
errors::InvalidArgument("lhs input needs to be a ref type"))
OP_REQUIRES_OK(context, context->GetAttr("var_name", &var_name_));
OP_REQUIRES(context, var_name_ != "",
errors::InvalidArgument("Missing var_name attribute"));
}
void Compute(OpKernelContext* context) override {
// NOTE(pbar): All other mutators of the Tensor Ref *must* have completed
// their execution before this DestroyTemporaryVariable op executes.
// This is typically achieved using control dependencies.
CHECK(IsRefType(context->input_dtype(0)));
Tensor tmpvar = context->mutable_input(0, false);
context->set_output(0, tmpvar);
ResourceMgr* rm = context->step_resource_manager();
OP_REQUIRES(context, rm, errors::Internal("No per-step resource manager."));
OP_REQUIRES_OK(
context, rm->Delete<TemporaryVariableOp::TmpVar>("tmp_var", var_name_));
}
private:
string var_name_;
};
} // namespace tensorflow
#endif // TENSORFLOW_KERNELS_VARIABLE_OPS_H_
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